Eran Swears

13 total papers · 987 total citations
8 papers, 127 citations indexed

About

Eran Swears is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Eran Swears has authored 8 papers receiving a total of 127 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 2 papers in Signal Processing. Recurrent topics in Eran Swears's work include Human Pose and Action Recognition (5 papers), Anomaly Detection Techniques and Applications (5 papers) and Video Surveillance and Tracking Methods (4 papers). Eran Swears is often cited by papers focused on Human Pose and Action Recognition (5 papers), Anomaly Detection Techniques and Applications (5 papers) and Video Surveillance and Tracking Methods (4 papers). Eran Swears collaborates with scholars based in United States. Eran Swears's co-authors include Anthony Hoogs, Qiang Ji, A. G. Amitha Perera, Ziheng Wang, Yifan Zhang, Kim L. Boyer, Chengjiang Long and Matthew S. Brown and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Eran Swears

8 papers receiving 120 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Eran Swears	98	79	27	13	11	8	127
Yujie Zhong	131 1.3×	62 0.8×	11 0.4×	19 1.5×	5 0.5×	12	167
Humza Naveed	52 0.5×	43 0.5×	8 0.3×	11 0.8×	7 0.6×	7	140
Vijeta Sharma	66 0.7×	94 1.2×	6 0.2×	18 1.4×	10 0.9×	5	230
Carl Case	235 2.4×	49 0.6×	13 0.5×	8 0.6×	4 0.4×	8	288
Noreen Kausar	40 0.4×	58 0.7×	23 0.9×	14 1.1×	34 3.1×	6	125
Jiawang Bai	31 0.3×	61 0.8×	16 0.6×	12 0.9×	12 1.1×	9	129
Linjun Zhou	101 1.0×	166 2.1×	11 0.4×	6 0.5×	10 0.9×	7	234
Chaim Baskin	112 1.1×	79 1.0×	9 0.3×	5 0.4×	5 0.5×	12	173
Benjamin Eysenbach	78 0.8×	86 1.1×	17 0.6×	3 0.2×	6 0.5×	6	132
Hangjie Yuan	136 1.4×	89 1.1×	6 0.2×	9 0.7×	2 0.2×	13	169

Countries citing papers authored by Eran Swears

Since Specialization

Citations

This map shows the geographic impact of Eran Swears'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 Eran Swears with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eran Swears more than expected).

Fields of papers citing papers by Eran Swears

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eran Swears. 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 Eran Swears. The network helps show where Eran Swears may publish in the future.

Co-authorship network of co-authors of Eran Swears

This figure shows the co-authorship network connecting the top 25 collaborators of Eran Swears. A scholar is included among the top collaborators of Eran Swears based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eran Swears. Eran Swears is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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