As an introduction, you can find the current top 10 autonomous car executives with different influential scores.
Definitely, Google’s self-driving car leader Chris Urmson takes the 1st position. The others are are among the top car manufacturers or other leaders from Google.
The last one, to mention, Kyle Vogt, is the founder and CEO of Cruise. Recently, Cruise launched their first assistant driving system RP-1. Some of my readers on Zhihu asked me if this product would be a potential threat to Google. I collected some data and offered my analysis over this. In a conclusion, the performance and parameters provided, together with how Cruise did the tests, cannot prove that this product has some revolutionary features, compared to other available products. You can check the Forbes page for it, and also my answer on Zhihu (sorry it was written in Chinese.)
Appendix: (from Autonomous Car Report 07.21.2014)
The Appinions Methodology for Calculating Influence
Influence is the capacity to have an effect on the behavior of someone else. That’s a powerful capability, particularly in a world where media is ubiquitous and nearly everyone has the capacity to repeat or amplify an idea.
Appinions measures influence as it is demonstrated in public news, articles, discussions, and social media. We apply patented natural language processing algorithms to first extract opinions that have been publicly shared, then determine who held that opinion, and finally to calculate an influence score based on the reaction each opinion elicits.
What is an influencer?
An influencer is a person, brand or company that expresses contextually relevant opinions on a specific topic, which elicit meaningful reactions from others. The kinds of reactions we measure include quotes, references, comments, and retweets. Someone can share opinions frequently, and have those opinions reach large audiences, and yet not be considered influential if their opinions on a specific topic fail to generate meaningful reactions. We measure only the ability to garner meaningful reactions.
How are influence scores calculated?
Appinions reviews full-text from online, offline, and social sources, and calculates individual influence scores for each person or company who shared an opinion on a specific topic which generated a meaningful reaction. Scores are calculated independently for each topic, based on a specific topic definition that includes keywords, key phrases, and negative keywords. It’s also important to note that all scores exist on a single scale, so you can compare the relative value of any two scores, even on different topics or from different time frames.
The score considers: 1) Which people or entities reacted to an opinion, weighted by their respective influence on that topic; 2) What is the credibility of the outlet where the reaction was published or consumed; and 3) What volume of reactions were generated based on the opinions attributed to that influencer over the past 60 days.
Reviewing all opinions from everyone who comments on a given topic, identifying all of the reactions, and completing this calculation, results in a ranked list of influencers for any given topic or theme. In this report we reviewed over 200 million opinions (within over 2 billion documents) between April 10, 2014 and July 8, 2014.