M. Ikram Ullah Lali
- Plant Science top 2%
- Analytical Chemistry top 1%
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Hafiz Tayyab RaufMuhammad Attique KhanMuhammad SharifBasharat Ali SaleemMuhammad Younus JavedMuhammad AzamZahid IqbalHussam Ali
- Topics
- Sentiment Analysis and Opinion Mining (7 papers)Smart Agriculture and AI (6 papers)Complex Network Analysis Techniques (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaMolecular EcologyIEEE Access
- Partner nations
- PakistanSaudi ArabiaChina
In The Last Decade
M. Ikram Ullah Lali
50 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Plant Science 876
- Analytical Chemistry 432
- Artificial Intelligence 370
- Information Systems 178
- Computer Vision and Pattern Recognition 175
Countries citing papers authored by M. Ikram Ullah Lali
This map shows the geographic impact of M. Ikram Ullah Lali'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 M. Ikram Ullah Lali with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Ikram Ullah Lali more than expected).
Fields of papers citing papers by M. Ikram Ullah Lali
This network shows the impact of papers produced by M. Ikram Ullah Lali. 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 M. Ikram Ullah Lali. The network helps show where M. Ikram Ullah Lali may publish in the future.
Co-authorship network of co-authors of M. Ikram Ullah Lali
This figure shows the co-authorship network connecting the top 25 collaborators of M. Ikram Ullah Lali. A scholar is included among the top collaborators of M. Ikram Ullah Lali 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 M. Ikram Ullah Lali. M. Ikram Ullah Lali is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 12 | |
| 4 | 8 | |
| 5 | 7 | |
| 6 | 13 | |
| 7 | 54 | |
| 8 | 5 | |
| 9 | 65 | |
| 10 | 185 | |
| 11 | 118 | |
| 12 | 38 | |
| 13 | 3 | |
| 14 | 8 | |
| 15 | Exploring Industrial Demand Trend’s in Pakistan Software Industry Using Online Job Portal Data | 8 |
| 16 | 11 | |
| 17 | Identification of Patterns in Failure of Software Projects. | 13 |
| 18 | 40 | |
| 19 | 2 | |
| 20 | 1 |
About M. Ikram Ullah Lali
M. Ikram Ullah Lali is a scholar working on Artificial Intelligence, Software and Information Systems, having authored 51 papers that have together received 1.8k indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (7 papers), Smart Agriculture and AI (6 papers) and Complex Network Analysis Techniques (5 papers). The work is most often cited by research in Analytical Chemistry (432 citations), Plant Science (876 citations) and Artificial Intelligence (370 citations). M. Ikram Ullah Lali has collaborated with scholars based in Pakistan, Saudi Arabia and China. Frequent co-authors include Hafiz Tayyab Rauf, Muhammad Attique Khan, Muhammad Sharif, Basharat Ali Saleem, Muhammad Younus Javed, Muhammad Azam, Zahid Iqbal, Hussam Ali, Syed Ahmad Chan Bukhari and Muhammad Sharif. Their work appears in journals such as SHILAP Revista de lepidopterología, Molecular Ecology and IEEE Access.
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.