Lalit Pal

573 citations
24 papers · 393 · h-index 12

Impact in

Papers in

Lalit Pal

24 papers receiving 385 citations

Peers

Lalit Pal
Comparison fields: 5 of 75
  • Global and Planetary Change 161
  • Environmental Engineering 65
  • Water Science and Technology 63
  • Atmospheric Science 70
  • Neurology 45
Replace David Kriegel with:
David Kriegel United States
Wei You China
Lian Chen China
Neha Gupta India
Zhihua Tu China
Muhammad Masood United States
Siyu Cai China
Grace Carlson United States
Αλέξανδρος Γεωργακόπουλος Greece
Kai Heckel Germany
Lalit Pal relative to David Kriegel United States David Kriegel's profile →
Citations per field
00.5×2.8×
David Kriegel · 1×
Citations per year

Countries citing papers authored by Lalit Pal

Since Specialization
Citations

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

Fields of papers citing papers by Lalit Pal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201953
2 200647
3 200842
4 202038
5 201834
6 201925
7
Neurocysticercosis presenting with psychosis.
200421
8 202120
9 200216
10 202115
11 200214
12
Intracranial neurothekeoma--a rare parenchymal nerve sheath myxoma of the middle cranial fossa.
200213
13 200611
14 202310
15 20228
16 20135
17 20074
18
Ovarian Sertoli-Leydig cell tumors: a single institution experience and review of the literature.
20174
19
Pitting oedema in hypothyroidism.
20034
20 20193

About Lalit Pal

Lalit Pal is a scholar working on Global and Planetary Change, Water Science and Technology, Pulmonary and Respiratory Medicine, Epidemiology and Environmental Engineering, having authored 24 papers that have together received 393 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (4 papers), Flood Risk Assessment and Management (3 papers), Climate variability and models (3 papers), Hydrology and Drought Analysis (3 papers), Plant Water Relations and Carbon Dynamics (2 papers), Endometriosis Research and Treatment (2 papers), Sarcoma Diagnosis and Treatment (2 papers) and Neurofibromatosis and Schwannoma Cases (2 papers). The work is most often cited by research in Global and Planetary Change (161 citations), Environmental Engineering (65 citations), Water Science and Technology (63 citations), Atmospheric Science (70 citations) and Neurology (45 citations). Lalit Pal has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include C. S. P. Ojha, Anoop Kumar Shukla, Rahul Garg, Abdul Haseeb Wani, Raj Kumar, Dafang Fu, Rajendra Prasad Singh, Sanjay Behari, Rabi Narayan Sahu and Deepu Banerji. Their work appears in journals such as Water, Clinical Radiology, Pediatric Neurosurgery, Hydrology and earth system sciences and Environmental Earth Sciences.

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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