Nachiket Deo

769 total citations
12 papers, 327 citations indexed

About

Nachiket Deo is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Nachiket Deo has authored 12 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Automotive Engineering, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Nachiket Deo's work include Autonomous Vehicle Technology and Safety (6 papers), Traffic and Road Safety (4 papers) and Video Surveillance and Tracking Methods (3 papers). Nachiket Deo is often cited by papers focused on Autonomous Vehicle Technology and Safety (6 papers), Traffic and Road Safety (4 papers) and Video Surveillance and Tracking Methods (3 papers). Nachiket Deo collaborates with scholars based in United States, France and Switzerland. Nachiket Deo's co-authors include Mohan M. Trivedi, Akshay Rangesh, Preeti Rao, Kaouther Messaoud, Fawzi Nashashibi, Sepideh Afshar, R.M. Kamel, Sanguthevar Rajasekaran, Boris Glavic and Oliver Kennedy and has published in prestigious journals such as IEEE Transactions on Intelligent Vehicles and arXiv (Cornell University).

In The Last Decade

Nachiket Deo

10 papers receiving 318 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nachiket Deo United States	6	253	117	111	87	84	12	327
Puneet Kumar France	2	251 1.0×	107 0.9×	65 0.6×	88 1.0×	61 0.7×	3	300
Yingshi Guo China	8	180 0.7×	72 0.6×	50 0.5×	97 1.1×	50 0.6×	16	333
Mozhgan Nasr Azadani Canada	8	155 0.6×	75 0.6×	67 0.6×	46 0.5×	76 0.9×	17	277
Yoshihiro Nishiwaki Japan	5	242 1.0×	72 0.6×	63 0.6×	67 0.8×	67 0.8×	6	325
George Thomaidis Greece	9	190 0.8×	75 0.6×	69 0.6×	40 0.5×	56 0.7×	15	306
Duy Tran United States	8	168 0.7×	51 0.4×	83 0.7×	57 0.7×	39 0.5×	12	310
Vadim Butakov United States	5	289 1.1×	63 0.5×	54 0.5×	82 0.9×	31 0.4×	8	373
Ralf Kohlhaas Germany	12	190 0.8×	34 0.3×	101 0.9×	39 0.4×	40 0.5×	22	309
Yeping Hu United States	9	238 0.9×	60 0.5×	87 0.8×	92 1.1×	99 1.2×	18	317
Alex Kuefler Germany	5	294 1.2×	94 0.8×	123 1.1×	86 1.0×	137 1.6×	5	432

Countries citing papers authored by Nachiket Deo

Since Specialization

Citations

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

Fields of papers citing papers by Nachiket Deo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nachiket Deo

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

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

1.

Afshar, Sepideh, et al.. (2024). PBP: Path-based Trajectory Prediction for Autonomous Driving. 12927–12934. 1 indexed citations

2.

Deo, Nachiket, Sanguthevar Rajasekaran, & R.M. Kamel. (2023). Identifying suitable attributes for Record Linkage using Association Analysis. 5753–5760.

3.

Deo, Nachiket, Boris Glavic, & Oliver Kennedy. (2022). Runtime provenance refinement for notebooks. 1–4. 1 indexed citations

4.

Messaoud, Kaouther, Nachiket Deo, Mohan M. Trivedi, & Fawzi Nashashibi. (2021). Trajectory Prediction for Autonomous Driving based on Multi-Head Attention with Joint Agent-Map Representation. arXiv (Cornell University). 165–170.

5.

Messaoud, Kaouther, Nachiket Deo, Mohan M. Trivedi, & Fawzi Nashashibi. (2020). Multi-Head Attention with Joint Agent-Map Representation for Trajectory Prediction in Autonomous Driving.. arXiv (Cornell University). 5 indexed citations

6.

Deo, Nachiket, et al.. (2019). On Control Transitions in Autonomous Driving: A Framework and Analysis for Characterizing Scene Complexity. 2422–2426. 1 indexed citations

7.

Rangesh, Akshay, et al.. (2018). Exploring the Situational Awareness of Humans inside Autonomous Vehicles. 190–197. 7 indexed citations

8.

Deo, Nachiket, Akshay Rangesh, & Mohan M. Trivedi. (2018). How Would Surround Vehicles Move? A Unified Framework for Maneuver Classification and Motion Prediction. IEEE Transactions on Intelligent Vehicles. 3(2). 129–140. 256 indexed citations

9.

Deo, Nachiket & Mohan M. Trivedi. (2017). Learning and predicting on-road pedestrian behavior around vehicles. 1–6. 13 indexed citations

10.

Deo, Nachiket, Akshay Rangesh, & Mohan M. Trivedi. (2016). In-vehicle Hand Gesture Recognition using Hidden Markov models. 2179–2184. 24 indexed citations

11.

Deo, Nachiket, et al.. (2015). Vowel mispronunciation detection using DNN acoustic models with cross-lingual training. 697–701. 13 indexed citations

12.

Deo, Nachiket, et al.. (2003). Graph-theoretic algorithms for image segmentation. 6. 141–144. 6 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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