Vadim Indelman
- Aerospace Engineering top 1%
- Computer Vision and Pattern Recognition top 1%
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Co-authors
- Frank DellaertLuca CarloneMichael KaessS. R. WilliamsAlexander CunninghamPini GurfilEhud RivlinHéctor Rotstein
- Topics
- Robotics and Sensor-Based Localization (54 papers)Robotic Path Planning Algorithms (23 papers)Advanced Image and Video Retrieval Techniques (17 papers)
- Journals
- Artificial IntelligenceThe International Journal of Robotics ResearchIEEE Transactions on Robotics
- Partner nations
- IsraelUnited StatesIndia
In The Last Decade
Vadim Indelman
75 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 60
- Aerospace Engineering 1.1k
- Computer Vision and Pattern Recognition 785
- Electrical and Electronic Engineering 318
- Artificial Intelligence 314
- Computer Networks and Communications 194
Countries citing papers authored by Vadim Indelman
This map shows the geographic impact of Vadim Indelman'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 Vadim Indelman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vadim Indelman more than expected).
Fields of papers citing papers by Vadim Indelman
This network shows the impact of papers produced by Vadim Indelman. 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 Vadim Indelman. The network helps show where Vadim Indelman may publish in the future.
Co-authorship network of co-authors of Vadim Indelman
This figure shows the co-authorship network connecting the top 25 collaborators of Vadim Indelman. A scholar is included among the top collaborators of Vadim Indelman 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 Vadim Indelman. Vadim Indelman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 11 | |
| 10 | 2 | |
| 11 | 6 | |
| 12 | 2 | |
| 13 | 3 | |
| 14 | 5 | |
| 15 | 14 | |
| 16 | 57 | |
| 17 | Incremental Distributed Robust Inference from Arbitrary Robot Poses via EM and Model Selection | 1 |
| 18 | 120 | |
| 19 | Concurrent filtering and smoothing | 18 |
| 20 | Factor graph based incremental smoothing in inertial navigation systems | 62 |
About Vadim Indelman
Vadim Indelman is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Artificial Intelligence, having authored 78 papers that have together received 1.4k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (54 papers), Robotic Path Planning Algorithms (23 papers) and Advanced Image and Video Retrieval Techniques (17 papers). The work is most often cited by research in Aerospace Engineering (1.1k citations), Computer Vision and Pattern Recognition (785 citations) and Geology (106 citations). Vadim Indelman has collaborated with scholars based in Israel, United States and India. Frequent co-authors include Frank Dellaert, Luca Carlone, Michael Kaess, S. R. Williams, Alexander Cunningham, Pini Gurfil, Ehud Rivlin, Héctor Rotstein, Julio A. Placed and Erik Nelson. Their work appears in journals such as Artificial Intelligence, The International Journal of Robotics Research and IEEE Transactions on Robotics.
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.