Aparna Taneja

46 total papers · 680 total citations
14 papers, 237 citations indexed

About

Aparna Taneja is a scholar working on Computer Vision and Pattern Recognition, Management Science and Operations Research and Environmental Engineering. According to data from OpenAlex, Aparna Taneja has authored 14 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 6 papers in Management Science and Operations Research and 3 papers in Environmental Engineering. Recurrent topics in Aparna Taneja's work include Advanced Bandit Algorithms Research (6 papers), Smart Grid Energy Management (3 papers) and Video Surveillance and Tracking Methods (3 papers). Aparna Taneja is often cited by papers focused on Advanced Bandit Algorithms Research (6 papers), Smart Grid Energy Management (3 papers) and Video Surveillance and Tracking Methods (3 papers). Aparna Taneja collaborates with scholars based in United States, Switzerland and India. Aparna Taneja's co-authors include Luca Ballan, Marc Pollefeys, Gaurav Chaurasia, Amber Thomas, Roland Siegwart, Paul Beardsley, Sundara Tejaswi Digumarti, Milind Tambe, Lily Xu and Shresth Verma and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Lecture notes in computer science and AI Magazine.

In The Last Decade

Aparna Taneja

12 papers receiving 224 citations

Author Peers

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

Author						Papers	Cites
Aparna Taneja	149	89	58	54	47	14	237
Vicente Arévalo	185 1.2×	138 1.6×	89 1.5×	67 1.2×	52 1.1×	23	328
Scott Mason	140 0.9×	63 0.7×	64 1.1×	104 1.9×	98 2.1×	17	320
Jongmin Jeong	143 1.0×	91 1.0×	17 0.3×	30 0.6×	20 0.4×	23	271
Yalong Pi	117 0.8×	52 0.6×	63 1.1×	47 0.9×	26 0.6×	12	283
Jun Jiang	143 1.0×	50 0.6×	88 1.5×	27 0.5×	24 0.5×	14	294
Daniel Méneveaux	172 1.2×	45 0.5×	23 0.4×	32 0.6×	54 1.1×	23	286
I. Kalisperakis	121 0.8×	61 0.7×	20 0.3×	107 2.0×	107 2.3×	31	311
Gustav Tolt	87 0.6×	59 0.7×	84 1.4×	127 2.4×	60 1.3×	29	326
Reza Bahmanyar	136 0.9×	47 0.5×	122 2.1×	65 1.2×	29 0.6×	29	287
Hamed Amini Amirkolaee	94 0.6×	28 0.3×	60 1.0×	153 2.8×	77 1.6×	20	306

Countries citing papers authored by Aparna Taneja

Since Specialization

Citations

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

Fields of papers citing papers by Aparna Taneja

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aparna Taneja

This figure shows the co-authorship network connecting the top 25 collaborators of Aparna Taneja. A scholar is included among the top collaborators of Aparna Taneja 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 Aparna Taneja. Aparna Taneja 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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