Adnan Ul-Hasan

34 total papers · 687 total citations
20 papers, 398 citations indexed

About

Adnan Ul-Hasan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Adnan Ul-Hasan has authored 20 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 3 papers in Human-Computer Interaction. Recurrent topics in Adnan Ul-Hasan's work include Handwritten Text Recognition Techniques (15 papers), Natural Language Processing Techniques (8 papers) and Image Processing and 3D Reconstruction (7 papers). Adnan Ul-Hasan is often cited by papers focused on Handwritten Text Recognition Techniques (15 papers), Natural Language Processing Techniques (8 papers) and Image Processing and 3D Reconstruction (7 papers). Adnan Ul-Hasan collaborates with scholars based in Pakistan, Germany and Australia. Adnan Ul-Hasan's co-authors include Thomas M. Breuel, Faisal Shafait, Saad Bin Ahmed, Andreas Dengel, Marcus Liwicki, Syed Saqib Bukhari, Muhammad Imran Malik, Muhammad Shahzad, Muhammad Zeshan Afzal and Syed Muhammad Raza Kazmi and has published in prestigious journals such as IEEE Access, Neural Computing and Applications and International Journal on Document Analysis and Recognition (IJDAR).

In The Last Decade

Adnan Ul-Hasan

18 papers receiving 372 citations

Author Peers

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

Author						Papers	Cites
Adnan Ul-Hasan	329	138	128	26	24	20	398
Masashi Koga	308 0.9×	115 0.8×	87 0.7×	45 1.7×	18 0.8×	33	434
Oriol Ramos Terrades	329 1.0×	126 0.9×	50 0.4×	20 0.8×	6 0.3×	40	427
Hiromitsu Yamada	296 0.9×	66 0.5×	77 0.6×	16 0.6×	9 0.4×	29	346
Nijad Al-Najdawi	316 1.0×	124 0.9×	66 0.5×	35 1.3×	3 0.1×	28	434
Xian Wei	173 0.5×	133 1.0×	48 0.4×	17 0.7×	4 0.2×	17	349
Vincent Hwang	165 0.5×	123 0.9×	56 0.4×	18 0.7×	5 0.2×	21	356
S. Knerr	342 1.0×	241 1.7×	81 0.6×	27 1.0×	63 2.6×	12	445
Ayan Kumar Bhunia	314 1.0×	99 0.7×	130 1.0×	16 0.6×	28 1.2×	17	386
Yihong Xu	235 0.7×	59 0.4×	22 0.2×	17 0.7×	11 0.5×	28	340
Feng Tian	217 0.7×	45 0.3×	76 0.6×	11 0.4×	15 0.6×	25	336

Countries citing papers authored by Adnan Ul-Hasan

Since Specialization

Citations

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

Fields of papers citing papers by Adnan Ul-Hasan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Adnan Ul-Hasan. 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 Adnan Ul-Hasan. The network helps show where Adnan Ul-Hasan may publish in the future.

Co-authorship network of co-authors of Adnan Ul-Hasan

This figure shows the co-authorship network connecting the top 25 collaborators of Adnan Ul-Hasan. A scholar is included among the top collaborators of Adnan Ul-Hasan 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 Adnan Ul-Hasan. Adnan Ul-Hasan 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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