Jamal Atif

1.3k citations
42 papers · 542 · h-index 11

Impact in

  • Neurology top 5%
    • Brain Tumor Detection and Classification
    • Medical Image Segmentation Techniques
    • Image Retrieval and Classification Techniques
    • Advanced Image and Video Retrieval Techniques
    • Advanced Neural Network Applications

Papers in

Jamal Atif

40 papers receiving 507 citations

Peers

Jamal Atif
Comparison fields: 5 of 86
  • Neurology 138
  • Computer Vision and Pattern Recognition 308
  • Artificial Intelligence 181
  • Media Technology 46
  • Signal Processing 42
Replace Muhammad Waqas Anwar with:
Muhammad Waqas Anwar Pakistan
Milind M. Mushrif India
S. Ramathilagam India
Hanuman Verma India
Anas Bilal China
Joaquim Cezar Felipe Brazil
G. Jothi India
Jihong Ouyang China
Muhammad Assam Pakistan
Rekha R Nair India
Jamal Atif relative to Muhammad Waqas Anwar Pakistan Muhammad Waqas Anwar's profile →
Citations per field
00.5×1.5×2.1×
Muhammad Waqas Anwar · 1×
Citations per year

Countries citing papers authored by Jamal Atif

Since Specialization
Citations

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

Fields of papers citing papers by Jamal Atif

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jamal Atif, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jamal Atif Line = papers co-authored together Jamal Atif links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008190
2 2008120
3
From generic knowledge to specific reasoning for medical image interpretation using graph based representations
200723
4 201321
5 201119
6 201318
7 202216
8 201713
9 200711
10 202010
11 202110
12
Climate Change and its Impact on Plant Health: A Pakistan’s Prospective
201810
13 20098
14 20167
15 20166
16 20085
17 20205
18 20225
19 20075
20 20074

About Jamal Atif

Jamal Atif is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology, Management Science and Operations Research and Signal Processing, having authored 42 papers that have together received 542 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (12 papers), Medical Image Segmentation Techniques (10 papers), Biomedical Text Mining and Ontologies (7 papers), Semantic Web and Ontologies (6 papers), Adversarial Robustness in Machine Learning (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Rough Sets and Fuzzy Logic (4 papers) and Data Management and Algorithms (3 papers). The work is most often cited by research in Neurology (138 citations), Computer Vision and Pattern Recognition (308 citations), Artificial Intelligence (181 citations), Media Technology (46 citations) and Signal Processing (42 citations). Jamal Atif has collaborated with scholars based in France, French Guiana and Guadeloupe. Frequent co-authors include Isabelle Bloch, Céline Hudelot, Hassan Khotanlou, Olivier Colliot, Elsa D. Angelini, Eric Benhamou, Yann Chevaleyre, Sam Corbett‐Davies, Nicolas Usunier and Hugues Duffau. Their work appears in journals such as Fuzzy Sets and Systems, Information Sciences, Journal of Mathematical Imaging and Vision, International Journal of Uncertainty Fuzziness and Knowledge-Based Systems and Machine Learning.

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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