Lance Kaplan

7.7k citations
246 papers · 4.9k · h-index 37

Impact in

Papers in

Lance Kaplan

232 papers receiving 4.8k citations

Peers

Lance Kaplan
Comparison fields: 5 of 148
  • Computer Science Applications 1.1k
  • Transportation 524
  • Signal Processing 678
  • Artificial Intelligence 1.9k
  • Computer Networks and Communications 1.2k
Replace Dong Wang with:
Dong Wang United States
Jing Gao United States
Suresh Venkatasubramanian United States
Dit‐Yan Yeung Hong Kong
Dengyong Zhou United States
John C. Duchi United States
Sewoong Oh United States
Jie Yin Australia
Shenghuo Zhu United States
Raymond Chi-Wing Wong Hong Kong
Lance Kaplan relative to Dong Wang United States Dong Wang's profile →
Citations per field
00.5×2.9×
Dong Wang · 1×
Citations per year

Countries citing papers authored by Lance Kaplan

Since Specialization
Citations

This map shows the geographic impact of Lance Kaplan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lance Kaplan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lance Kaplan more than expected).

Fields of papers citing papers by Lance Kaplan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lance Kaplan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lance Kaplan. The network helps show where Lance Kaplan may publish in the future.

Co-authors

The 25 scholars most cited alongside Lance Kaplan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lance Kaplan Line = papers co-authored together Lance Kaplan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 246 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012276
2 2006209
3 2006177
4 1999171
5 2006166
6 2012127
7 2014124
8 2002114
9
Social Sensing: Building Reliable Systems on Unreliable Data
2015112
10 2013100
11 201697
12 201395
13
Using Humans as Sensors: An Estimation-theoretic Perspective
201595
14 202094
15 200878
16 199377
17 201377
18 201376
19 200175
20 201468

About Lance Kaplan

Lance Kaplan is a scholar working on Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering, Computer Science Applications and Aerospace Engineering, having authored 246 papers that have together received 4.9k indexed citations. Recurring topics across this work include Distributed Sensor Networks and Detection Algorithms (42 papers), Target Tracking and Data Fusion in Sensor Networks (39 papers), Mobile Crowdsensing and Crowdsourcing (39 papers), Indoor and Outdoor Localization Technologies (39 papers), Complex Network Analysis Techniques (27 papers), Anomaly Detection Techniques and Applications (26 papers), Energy Efficient Wireless Sensor Networks (22 papers) and Advanced SAR Imaging Techniques (20 papers). The work is most often cited by research in Computer Science Applications (1.1k citations), Transportation (524 citations), Signal Processing (678 citations), Artificial Intelligence (1.9k citations) and Computer Networks and Communications (1.2k citations). Lance Kaplan has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Tarek Abdelzaher, Dong Wang, C.‐C. Jay Kuo, Hieu Le, James H. McClellan, Mani Srivastava, Yeo-Sun Yoon, Jiawei Han, Erik Blasch and Chun Yang. Their work appears in journals such as IEEE Transactions on Aerospace and Electronic Systems, IEEE Transactions on Signal Processing, ACM Transactions on Sensor Networks, IEEE Transactions on Image Processing and Information Fusion.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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