Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Fungus-Mediated Synthesis of Silver Nanoparticles and Their Immobilization in the Mycelial Matrix: A Novel Biological Approach to Nanoparticle Synthesis
20011.0k citationsPriyabrata Mukherjee, Absar Ahmad et al.profile →
A Deep Learning Approach for Network Intrusion Detection System
2016764 citationsAhmad Y. Javaid, Quamar Niyaz et al.SHILAP Revista de lepidopterologíaprofile →
Bioreduction of AuCl4− Ions by the Fungus, Verticillium sp. and Surface Trapping of the Gold Nanoparticles Formed D.M. and S.S. thank the Council of Scientific and Industrial Research (CSIR), Government of India, for financial assistance.
2001580 citationsPriyabrata Mukherjee, Absar Ahmad et al.Angewandte Chemie International Editionprofile →
The impact of plug-in hybrid electric vehicles on distribution networks: A review and outlook
2010519 citationsRobert Green, Lingfeng Wang et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Mansoor Alam'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 Mansoor Alam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mansoor Alam more than expected).
This network shows the impact of papers produced by Mansoor Alam. 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 Mansoor Alam. The network helps show where Mansoor Alam may publish in the future.
Co-authorship network of co-authors of Mansoor Alam
This figure shows the co-authorship network connecting the top 25 collaborators of Mansoor Alam.
A scholar is included among the top collaborators of Mansoor Alam 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 Mansoor Alam. Mansoor Alam is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Alam, Mansoor, et al.. (2012). A promising strain of Streptomyces sp. with agricultural traits for growth promotion and disease management.. PubMed. 50(8). 559–68.15 indexed citations
Mishra, Rohit Kumar, Om Prakash, Mansoor Alam, & Anupam Dikshit. (2010). INFLUENCE OF PLANT GROWTH PROMOTING RHIZOBACTERIA (PGPR) ON THE PRODUCTIVITY OF PELARGONIUM GRAVEOLENS L. HERIT. Recent Research in Science and Technology. 2(5). 53–57.29 indexed citations
17.
Schilling, Walter & Mansoor Alam. (2007). Evaluating the Effectiveness of Java Static Analysis Tools.. European Symposium on Algorithms. 91–97.1 indexed citations
Mukherjee, Priyabrata, Absar Ahmad, Dindyal Mandal, et al.. (2001). Bioreduction of AuCl4− Ions by the Fungus, Verticillium sp. and Surface Trapping of the Gold Nanoparticles Formed D.M. and S.S. thank the Council of Scientific and Industrial Research (CSIR), Government of India, for financial assistance.. Angewandte Chemie International Edition. 40(19). 3585–3585.580 indexed citations breakdown →
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.