Srikumar Ramalingam

3.3k citations
39 papers · 1.9k indexed · 2 hit papers · h-index 19
Topics
Advanced Vision and Imaging (24 papers)Optical measurement and interference techniques (18 papers)Robotics and Sensor-Based Localization (13 papers)
Partner nations
United StatesFranceJapan

In The Last Decade

Srikumar Ramalingam

39 papers receiving 1.8k citations

Hit Papers

Entropy rate superpixel segmentation201120262016202120112024250500750

Peers

Srikumar Ramalingam
Comparison fields: 5 of 104
  • Computer Vision and Pattern Recognition 1.4k
  • Media Technology 686
  • Aerospace Engineering 385
  • Atmospheric Science 214
  • Artificial Intelligence 145
Replace Germán Ros with:
Germán Ros Spain
Takayuki Okatani Japan
Margrit Gelautz Austria
A. Huertas United States
Pablo F. Alcantarilla Spain
Csaba Benedek Hungary
Xuran Pan China
Nan Xue China
Yinjie Lei China
S.M. Yamany United States
Srikumar Ramalingam relative to Germán Ros Spain Germán Ros's profile →
Citations per field
00.5×7.3×
Germán Ros · 1×
Citations per year

Countries citing papers authored by Srikumar Ramalingam

Since Specialization
Citations

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

Fields of papers citing papers by Srikumar Ramalingam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Srikumar Ramalingam

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1
Rethinking FID: Towards a Better Evaluation Metric for Image Generationbreakdown →
45
2 1
3 7
4 190
5 1
6 87
7 39
8 27
9
Entropy rate superpixel segmentationbreakdown →
769
10 35
11 34
12 29
13 59
14 17
15
07 - Géométrie d’images multiples pour des modèles de caméras généraux
1
16
Towards Generic Self-Calibration of Central Cameras
15
17
Generic Calibration of Axial Cameras
2
18
Theory and Experiments towards Complete Generic Calibration
9
19 4
20 6

About Srikumar Ramalingam

Srikumar Ramalingam is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Media Technology, having authored 39 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (24 papers), Optical measurement and interference techniques (18 papers) and Robotics and Sensor-Based Localization (13 papers). The work is most often cited by research in Media Technology (686 citations), Computer Vision and Pattern Recognition (1.4k citations) and Geology (121 citations). Srikumar Ramalingam has collaborated with scholars based in United States, France and Japan. Frequent co-authors include Ming-Yu Liu, Oncel Tuzel, Rama Chellappa, Peter Sturm, Yuichi Taguchi, Suresh K. Lodha, Chen Feng, Zhiding Yu, Amit Agrawal and Visesh Chari. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Graphics and Computer Vision and Image Understanding.

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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