Esha D. Nerurkar

686 total citations
11 papers, 337 citations indexed

About

Esha D. Nerurkar is a scholar working on Aerospace Engineering, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Esha D. Nerurkar has authored 11 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Aerospace Engineering, 8 papers in Electrical and Electronic Engineering and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Esha D. Nerurkar's work include Indoor and Outdoor Localization Technologies (8 papers), Robotics and Sensor-Based Localization (8 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Esha D. Nerurkar is often cited by papers focused on Indoor and Outdoor Localization Technologies (8 papers), Robotics and Sensor-Based Localization (8 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Esha D. Nerurkar collaborates with scholars based in United States, Sweden and Netherlands. Esha D. Nerurkar's co-authors include Stergios I. Roumeliotis, J. L. Gordillo, Joel A. Hesch, Kejian Wu, Ke Zhou, John O’Leary, Γεώργιος Γεωργίου and Ruipeng Li and has published in prestigious journals such as The International Journal of Robotics Research, IEEE Transactions on Robotics and 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

In The Last Decade

Esha D. Nerurkar

11 papers receiving 328 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Esha D. Nerurkar United States	10	268	181	128	85	83	11	337
Kasra Khosoussi Australia	10	226 0.8×	83 0.5×	138 1.1×	30 0.4×	45 0.5×	19	272
Cyrille Berger Sweden	7	251 0.9×	67 0.4×	205 1.6×	20 0.2×	36 0.4×	16	321
Joseph Djugash United States	8	171 0.6×	141 0.8×	91 0.7×	90 1.1×	76 0.9×	12	308
Xiuyuan Lu United States	5	207 0.8×	114 0.6×	79 0.6×	40 0.5×	25 0.3×	10	262
Martial Sanfourche France	9	178 0.7×	53 0.3×	169 1.3×	23 0.3×	31 0.4×	19	248
Thomas Lemaire France	5	368 1.4×	102 0.6×	316 2.5×	18 0.2×	30 0.4×	7	412
Yuanxin Wu China	9	247 0.9×	98 0.5×	53 0.4×	95 1.1×	29 0.3×	17	286
Dongjiang Li China	5	200 0.7×	50 0.3×	180 1.4×	24 0.3×	23 0.3×	15	254
Marius Fehr Switzerland	6	274 1.0×	74 0.4×	222 1.7×	16 0.2×	27 0.3×	10	320

Countries citing papers authored by Esha D. Nerurkar

Since Specialization

Citations

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

Fields of papers citing papers by Esha D. Nerurkar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Esha D. Nerurkar. 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 Esha D. Nerurkar. The network helps show where Esha D. Nerurkar may publish in the future.

Co-authorship network of co-authors of Esha D. Nerurkar

This figure shows the co-authorship network connecting the top 25 collaborators of Esha D. Nerurkar. A scholar is included among the top collaborators of Esha D. Nerurkar 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 Esha D. Nerurkar. Esha D. Nerurkar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

Γεωργίου, Γεώργιος, Ruipeng Li, John O’Leary, et al.. (2018). Resource-Aware Large-Scale Cooperative Three-Dimensional Mapping Using Multiple Mobile Devices. IEEE Transactions on Robotics. 34(5). 1349–1369. 17 indexed citations

Wu, Kejian, et al.. (2017). A comparative analysis of tightly-coupled monocular, binocular, and stereo VINS. 65 indexed citations

Γεωργίου, Γεώργιος, et al.. (2016). Large-scale cooperative 3D visual-inertial mapping in a Manhattan world. 24. 1071–1078. 19 indexed citations

Nerurkar, Esha D., et al.. (2014). C-KLAM: Constrained keyframe-based localization and mapping. 35 indexed citations

Nerurkar, Esha D. & Stergios I. Roumeliotis. (2013). A communication-bandwidth-aware hybrid estimation framework for multi-robot cooperative localization. 1418–1425. 10 indexed citations

Nerurkar, Esha D. & Stergios I. Roumeliotis. (2013). Hybrid maximum a posteriori estimation under communication constraints. 4898–4902. 1 indexed citations

Nerurkar, Esha D., et al.. (2013). Decentralized multi-robot cooperative localization using covariance intersection. 1412–1417. 120 indexed citations

Nerurkar, Esha D. & Stergios I. Roumeliotis. (2011). Power-SLAM: a linear-complexity, anytime algorithm for SLAM. The International Journal of Robotics Research. 30(6). 772–788. 19 indexed citations

Nerurkar, Esha D., Ke Zhou, & Stergios I. Roumeliotis. (2011). A hybrid estimation framework for Cooperative Localization under communication constraints. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 502–509. 17 indexed citations

10.

Nerurkar, Esha D. & Stergios I. Roumeliotis. (2010). Asynchronous Multi-Centralized Cooperative Localization. 4352–4359. 25 indexed citations

11.

Nerurkar, Esha D. & Stergios I. Roumeliotis. (2007). Power-SLAM: A linear-complexity, consistent algorithm for SLAM. 636–643. 9 indexed citations

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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