Ali Diba

55 total papers · 1.5k total citations
17 papers, 578 citations indexed

About

Ali Diba is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Building and Construction. According to data from OpenAlex, Ali Diba has authored 17 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 2 papers in Building and Construction. Recurrent topics in Ali Diba's work include Human Pose and Action Recognition (7 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Ali Diba is often cited by papers focused on Human Pose and Action Recognition (7 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Domain Adaptation and Few-Shot Learning (5 papers). Ali Diba collaborates with scholars based in Belgium, Switzerland and United States. Ali Diba's co-authors include Luc Van Gool, Vivek Sharma, Vivek Sharma, Ali Mohammad Pazandeh, Hamed Pirsiavash, Tinne Tuytelaars, Amir Ghodrati, Marco Pedersoli, Rainer Stiefelhagen and Mohammad Rastegari and has published in prestigious journals such as Multimedia Tools and Applications, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and arXiv (Cornell University).

In The Last Decade

Ali Diba

16 papers receiving 562 citations

Author Peers

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

Author						Papers	Cites
Ali Diba	502	265	83	69	27	17	578
Sanath Narayan	484 1.0×	363 1.4×	59 0.7×	78 1.1×	27 1.0×	18	607
Baochang Zhang	442 0.9×	148 0.6×	82 1.0×	101 1.5×	25 0.9×	17	566
Allah Bux Sargano	329 0.7×	250 0.9×	60 0.7×	70 1.0×	38 1.4×	29	510
Wei Feng	433 0.9×	128 0.5×	133 1.6×	77 1.1×	10 0.4×	43	533
Wenliang Zhao	482 1.0×	280 1.1×	42 0.5×	29 0.4×	7 0.3×	18	655
Tan Yu	439 0.9×	207 0.8×	29 0.3×	35 0.5×	13 0.5×	27	645
Golnaz Ghiasi	508 1.0×	225 0.8×	59 0.7×	20 0.3×	8 0.3×	13	624
Yuanjie Shao	550 1.1×	139 0.5×	263 3.2×	60 0.9×	68 2.5×	24	698
Yan Liu	298 0.6×	86 0.3×	116 1.4×	50 0.7×	42 1.6×	18	509
Weichao Qiu	474 0.9×	129 0.5×	57 0.7×	34 0.5×	9 0.3×	23	620

Countries citing papers authored by Ali Diba

Since Specialization

Citations

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

Fields of papers citing papers by Ali Diba

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ali Diba

This figure shows the co-authorship network connecting the top 25 collaborators of Ali Diba. A scholar is included among the top collaborators of Ali Diba 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 Ali Diba. Ali Diba 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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