Mallada khandalensis

* Mallada khandalensis (Navás, 1932) Chrysopa khandalensis Navás, 1932a: 16. Type locality: India (Maharashtra: Khandala). Indian distribution: Maharashtra: Satara Dist.: Khandala (hill station) (Navás 1932a: 17; Sala de Castellarnau 1946: 123; Ghosh & Sen 1977: 293; Ghosh 1983a: 83; Legrand et al. 2008: 146; Sharma & Chandra 2012: 486; Singh et al. 2020: 504). World distribution: India (Navás 1932a: 17; Oswald 2024a).

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-06
DOI
https://doi.org/10.5281/zenodo.14588464
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mallada khandalensis

Zenodo (CERN European Organization for Nuclear Research)
Research Data Management Practices
article

Mallada khandalensis

article en

Abstract

* Mallada khandalensis (Navás, 1932) Chrysopa khandalensis Navás, 1932a: 16. Type locality: India (Maharashtra: Khandala). Indian distribution: Maharashtra: Satara Dist.: Khandala (hill station) (Navás 1932a: 17; Sala de Castellarnau 1946: 123; Ghosh & Sen 1977: 293; Ghosh 1983a: 83; Legrand et al. 2008: 146; Sharma & Chandra 2012: 486; Singh et al. 2020: 504). World distribution: India (Navás 1932a: 17; Oswald 2024a).

Zenodo (CERN European Organization for Nuclear Research)
Government Medical College (IN), Yahoo (United Kingdom) (GB), Zoological Survey of India (IN), Guizhou University (CN), Central Institute of Temperate Horticulture (IN), Texas A&M University (US)
Openalex Percentile: Top 38%
Research Data Management Practices
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.