Inayat Ullah

1.2k citations
55 papers · 845 · h-index 14

Impact in

Papers in

Inayat Ullah

50 papers receiving 822 citations

Peers

Inayat Ullah
Comparison fields: 5 of 115
  • Management of Technology and Innovation 239
  • Industrial and Manufacturing Engineering 194
  • Management Information Systems 132
  • Strategy and Management 176
  • Management Science and Operations Research 94
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Ebru K. Bish United States
Amitava Mitra United States
Suresh K. Nair United States
Songlin Chen China
Rui Miao China
Fazel Ansari Austria
P. van Beek Netherlands
Jukka Korpela Finland
Abhijit Deshmukh United States
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Citations per field
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Citations per year

Countries citing papers authored by Inayat Ullah

Since Specialization
Citations

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

Fields of papers citing papers by Inayat Ullah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Inayat Ullah, 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 Inayat Ullah Line = papers co-authored together Inayat Ullah links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019161
2 2021155
3 201650
4 201638
5 202132
6 202026
7 202123
8 201718
9 201818
10 201818
11 202016
12 201515
13 201814
14 202113
15 201713
16
Pathogenic mutations in TULP1 responsible for retinitis pigmentosa identified in consanguineous familial cases.
201613
17 202412
18 202012
19 201712
20 202011

About Inayat Ullah

Inayat Ullah is a scholar working on Management of Technology and Innovation, Mechanical Engineering, Industrial and Manufacturing Engineering, Molecular Biology and Management Science and Operations Research, having authored 55 papers that have together received 845 indexed citations. Recurring topics across this work include Product Development and Customization (20 papers), Design Education and Practice (13 papers), Multi-Criteria Decision Making (8 papers), Manufacturing Process and Optimization (7 papers), Fuzzy Systems and Optimization (7 papers), Optimization and Mathematical Programming (7 papers), Quality and Supply Management (7 papers) and Quality Function Deployment in Product Design (5 papers). The work is most often cited by research in Management of Technology and Innovation (239 citations), Industrial and Manufacturing Engineering (194 citations), Management Information Systems (132 citations), Strategy and Management (176 citations) and Management Science and Operations Research (94 citations). Inayat Ullah has collaborated with scholars based in Pakistan, China and India. Frequent co-authors include Rakesh Narain, Dunbing Tang, Prakash Agrawal, Leilei Yin, Muhammad Akram, Bingdong Zhu, Shiquan Niu, Muhammad Adnan, Wei-Bao Kong and Tofigh Allahviranloo. Their work appears in journals such as Information Sciences, Advanced Engineering Informatics, Journal of Business and Industrial Marketing, Concurrent Engineering and Scientific Reports.

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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