J.H. Kotecha
- Artificial Intelligence top 0.5%
- Electrical and Electronic Engineering top 5%
- Computer Networks and Communications top 1%
- Control and Systems Engineering top 2%
- Aerospace Engineering top 2%
- Co-authors
- Petar M. DjurićTadesse GhirmaiMónica F. BugalloJoaquı́n Mı́guezA.M. SayeedYufei HuangVasanthan RaghavanVignesh Ramachandran
- Topics
- Target Tracking and Data Fusion in Sensor Networks (14 papers)Advanced MIMO Systems Optimization (11 papers)Advanced Wireless Communication Techniques (9 papers)
- Journals
- IEEE Transactions on Information TheoryIEEE Transactions on Signal ProcessingIEEE Journal on Selected Areas in Communications
- Partner nations
- United StatesCanadaFrance
In The Last Decade
J.H. Kotecha
29 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Artificial Intelligence 1.6k
- Electrical and Electronic Engineering 860
- Computer Networks and Communications 814
- Control and Systems Engineering 502
- Aerospace Engineering 446
Countries citing papers authored by J.H. Kotecha
This map shows the geographic impact of J.H. Kotecha'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 J.H. Kotecha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J.H. Kotecha more than expected).
Fields of papers citing papers by J.H. Kotecha
This network shows the impact of papers produced by J.H. Kotecha. 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 J.H. Kotecha. The network helps show where J.H. Kotecha may publish in the future.
Co-authorship network of co-authors of J.H. Kotecha
This figure shows the co-authorship network connecting the top 25 collaborators of J.H. Kotecha. A scholar is included among the top collaborators of J.H. Kotecha 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 J.H. Kotecha. J.H. Kotecha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 38 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 44 | |
| 8 | 210 | |
| 9 | 7 | |
| 10 | 11 | |
| 11 | Particle filteringbreakdown → | 517 |
| 12 | Particle Filteringbreakdown → | 669 |
| 13 | 3 | |
| 14 | 37 | |
| 15 | 19 | |
| 16 | 1 | |
| 17 | 8 | |
| 18 | 9 | |
| 19 | 17 | |
| 20 | 51 |
About J.H. Kotecha
J.H. Kotecha is a scholar working on Computer Networks and Communications, Signal Processing and Artificial Intelligence, having authored 29 papers that have together received 2.7k indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (14 papers), Advanced MIMO Systems Optimization (11 papers) and Advanced Wireless Communication Techniques (9 papers). The work is most often cited by research in Artificial Intelligence (1.6k citations), Computer Networks and Communications (814 citations) and Signal Processing (334 citations). J.H. Kotecha has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Petar M. Djurić, Tadesse Ghirmai, Mónica F. Bugallo, Joaquı́n Mı́guez, A.M. Sayeed, Yufei Huang, Yufei Huang, Vasanthan Raghavan, Vignesh Ramachandran and Etienne Perret. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and IEEE Journal on Selected Areas in Communications.
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.