Sachin Farfade

11 total papers · 661 total citations
4 papers, 26 citations indexed

About

Sachin Farfade is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Sachin Farfade has authored 4 papers receiving a total of 26 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Signal Processing. Recurrent topics in Sachin Farfade's work include Advanced Image and Video Retrieval Techniques (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Multimodal Machine Learning Applications (2 papers). Sachin Farfade is often cited by papers focused on Advanced Image and Video Retrieval Techniques (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Multimodal Machine Learning Applications (2 papers). Sachin Farfade collaborates with scholars based in United States and United Kingdom. Sachin Farfade's co-authors include Vidit Jain, Lu Jiang, Liangliang Cao, Jiliang Tang, Yannis Kalantidis, Alexander G. Hauptmann, Kofi Boakye and Hamid Izadinia and has published in prestigious journals such as .

In The Last Decade

Sachin Farfade

4 papers receiving 25 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Sachin Farfade	16	7	7	6	5	4	26
Mohamed Ahmed Abdelraheem	16 1.0×	4 0.6×	21 3.0×	6 1.0×	7 1.4×	5	28
Faisal Azhar	24 1.5×	5 0.7×	9 1.3×		6 1.2×	6	38
A. Asahara	10 0.6×	13 1.9×	6 0.9×	2 0.3×	3 0.6×	6	27
I. Ojalvo	6 0.4×	2 0.3×	16 2.3×	5 0.8×	4 0.8×	4	35
Richard Lawrence	6 0.4×	2 0.3×	14 2.0×	6 1.0×	10 2.0×	6	28
Toshio Tokita	16 1.0×	4 0.6×	22 3.1×	2 0.3×	3 0.6×	3	24
Shanka Subhra Mondal	18 1.1×	11 1.6×	6 0.9×	2 0.3×	22 4.4×	4	46
J. Yin	7 0.4×	2 0.3×	6 0.9×	2 0.3×	2 0.4×	5	21
P. Nagabhushan	9 0.6×	3 0.4×	9 1.3×		9 1.8×	5	33
Ang Li	26 1.6×	2 0.3×	17 2.4×	2 0.3×	6 1.2×	4	41

Countries citing papers authored by Sachin Farfade

Since Specialization

Citations

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

Fields of papers citing papers by Sachin Farfade

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sachin Farfade

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

All Works

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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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